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remote-load latency problem when one processor requires some remote loading of data by other nodes then the processor need to wait for these two
superscalar processorsin scalar processors only one instruction is implemented per cycle that means only single instruction is issued per cycle and
bit serial associative processor bsap when the associative processor accepts bit serial memory organization then it is known as bit serial
fully parallel associative processor fpap this processor accepts the bit parallel memory organisation fpap has two type of this associative
there are two methods for organising the associative memory based on bit slices bit parallel organisationin this organisation every bit slices which
in the organisation of an associative memory many registers are used comparand register cthis register is used to grasp the operands which are being
associative array processingconsider that a list of record or a table is stored in the memory and you want to search some information in that list
host computer an array processor may be attached to a host computer by the control unit the reason of the host computer is to broadcast a sequence
interconnection network in in performs data exchange between the pes manipulation functions and data routing this in is under the control of
processing elements pes every processing element consists of alu local memory and its registers for storage of distributed data this pes has
control unit cu every pes are under the control of one control unit cu controls the inter communication among the pes there is a local memory of
efficiency of vector processing over scalar processingwe know that a sequential computer processes scalar operands one at a time thus if we have to
register-to-register architecture in this organization results and operands are accessed not directly from the main memory by the scalar or vector
memory-to-memory architecturethe pipelines can access vector operands intermediate and final results directly in the main memory this needs the
vector processing with pipeliningsince in vector processing vector instructions perform the similar computation on dissimilar data operands
vector-memory instructions when vector operations with memory m are executed then these are vector-memory instructions these instructions are denoted
vector reduction instructions when operations on vector are being deduced to scalar items as the result then these are the vector reduction
vector-scalar instructions in this type when the combination of vector and scalar are fetched and saved in vector register these instructions are
vector-vector instructionsin this type vector operands are fetched by the vector register and saved in another vector register these instructions are
vector processing a vector is an ordered set of the similar type of scalar data items the scalar item can be a floating point number a logical
performance and issues in pipeliningthroughput throughput of a pipeline can be defined as the number of results that have been getting per unit
performance and issues in pipeliningefficiency the efficiency of a pipeline can be calculated as the ratio of busy time to the entire time
performance and issues in pipeliningspeedup firstly we get the speedup factor that is we see how much speed up performance we get through
arithmetic pipelinesthe method of pipelining can be applied to a variety of complex and slow arithmetic operations to speed up the processing time
classification according to part of instruction and dataaccording to the parts of instruction and data following parts are identified under this